Statistical methods of intellectual data analysis
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The main methods of statistical data and machine learning processing and their implementation in R. The principles of the development of information systems and models based on data are described. Examples of use of machine learning methods in solving applied problems are given. The preparation of data, work with temporary rows, methods of classification and clustering, teaching methods (with a teacher, without a teacher, with reinforcement), classical methods of intellectual data analysis, methods of checking the adequacy of the obtained models, their comparison and choice. At the end of the sections, questions are given for self -control and assignment.
The material corresponds to the course "Statistical methods of intellectual data analysis" and "intellectual systems" in the preparation of undergraduates in the direction "Automation of technological processes and production".
The initial data and codes of all examples in the language of R can be downloaded from the website of the publishing house
The material corresponds to the course "Statistical methods of intellectual data analysis" and "intellectual systems" in the preparation of undergraduates in the direction "Automation of technological processes and production".
The initial data and codes of all examples in the language of R can be downloaded from the website of the publishing house
Author:
Author:soapders Leonid Aleksandrovich
Cover:
Cover:Soft
Category:
- Category:Computer & Technology
Publication language:
Publication Language:Russian
Paper:
Paper:Offset
ISBN:
ISBN:978-5-975-6733-6
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